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Aymeric Histace

Showing results (11-20 of 37) with videos related to

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Journal of Gastroenterology and Hepatology|January 15, 2021
Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promiseXavier Dray, Dimitris Iakovidis, Charles Houdeville, et al.
Journal of Crohn'S & Colitis|August 1, 2023
Artificial Intelligence-assisted Analysis of Pan-enteric Capsule Endoscopy in Patients with Suspected Crohn's Disease: A Study on Diagnostic PerformanceJacob Broder Brodersen, Michael Dam Jensen, Romain Leenhardt, et al.
Clinics and Research in Hepatology and Gastroenterology|December 2, 2024
Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Journal of Clinical Medicine|May 28, 2022
Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) StudyCharles Houdeville, Romain Leenhardt, Marc Souchaud, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
In vivo NIRS monitoring in pig Spinal Cord tissuesOlivier Tsiakaka, Mehdi Terosiet, Olivier Romain, et al.
Scientific Data|January 3, 2024
An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learningArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Gastrointestinal Endoscopy|July 19, 2018
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopyRomain Leenhardt, Pauline Vasseur, Cynthia Li, et al.
Scientific Reports|July 2, 2025
Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importanceArnaud Cannet, Camille Simon Chane, Aymeric Histace, et al.
Endoscopy International Open|August 2, 2019
Multi-criterion, automated, high-performance, rapid tool for assessing mucosal visualization quality of still images in small bowel capsule endoscopySarra Oumrani, Aymeric Histace, Einas Abou Ali, et al.
Scientific Reports|December 4, 2023
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
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Showing results (11-20 of 37) with videos related to

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Pageof 4
Journal of Gastroenterology and Hepatology|January 15, 2021
Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promiseXavier Dray, Dimitris Iakovidis, Charles Houdeville, et al.
Journal of Crohn'S & Colitis|August 1, 2023
Artificial Intelligence-assisted Analysis of Pan-enteric Capsule Endoscopy in Patients with Suspected Crohn's Disease: A Study on Diagnostic PerformanceJacob Broder Brodersen, Michael Dam Jensen, Romain Leenhardt, et al.
Clinics and Research in Hepatology and Gastroenterology|December 2, 2024
Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Journal of Clinical Medicine|May 28, 2022
Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) StudyCharles Houdeville, Romain Leenhardt, Marc Souchaud, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
In vivo NIRS monitoring in pig Spinal Cord tissuesOlivier Tsiakaka, Mehdi Terosiet, Olivier Romain, et al.
Scientific Data|January 3, 2024
An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learningArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Gastrointestinal Endoscopy|July 19, 2018
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopyRomain Leenhardt, Pauline Vasseur, Cynthia Li, et al.
Scientific Reports|July 2, 2025
Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importanceArnaud Cannet, Camille Simon Chane, Aymeric Histace, et al.
Endoscopy International Open|August 2, 2019
Multi-criterion, automated, high-performance, rapid tool for assessing mucosal visualization quality of still images in small bowel capsule endoscopySarra Oumrani, Aymeric Histace, Einas Abou Ali, et al.
Scientific Reports|December 4, 2023
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Pageof 4